The wavelet transform has emerged over recent years as a powerful time--frequency analysis and signal-coding tool suitable for use in the manipulation of complex nonstationary signals, and it has been in the forefront of many recent developments in biomedical and biological signal processing.
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Guido et al. (2009) studied this question.